sspipe
tsflex
| sspipe | tsflex | |
|---|---|---|
| 1 | 3 | |
| 145 | 363 | |
| 0.0% | 1.9% | |
| 0.0 | 6.3 | |
| almost 2 years ago | 13 days ago | |
| Python | Python | |
| MIT License | MIT License |
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sspipe
tsflex
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[P] tsflex: flexible and efficient feature extraction for time series
tsflex its core functionality is strided-window feature extraction. This toolkit focusses on being flexible (e.g., few assumptions about sequence data, integration with other packages) and efficient (in both time & memory consumption -> see benchmark).
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Request - a good book for anomaly detection on time series
If you plan to transform your time series data in feature vectors, I would suggest to use tsflex (a rather new package) instead of TSfresh. tsflex is imo more convenient to use & multitudes more efficient for window-stride feature extraction.
What are some alternatives?
siuba - Python library for using dplyr like syntax with pandas and SQL
tsfresh - Automatic extraction of relevant features from time series:
kindleServer - This project serve HTML files (and a few more) saved in your computer with a UI suitable for Kindle web browser. On top of that, it include a Read Mode (thanks to ReadabiliPy) to display the text in a comfortable size without have to use the 'Article Mode' in Kindle web browser.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
concrete-numpy - Concrete-Numpy: A library to turn programs into their homomorphic equivalent.
MultiModalStory-demo - FairyTailor: Multimodal Generative Framework for Storytelling
seaborn - Statistical data visualization in Python
temporian - Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
prosto - Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby
Dask - Parallel computing with task scheduling
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis